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Apprentice Machine Learning Testing Jobs in New York

Teleskope

Machine Learning Engineer

Manhattan, NY · Hybrid

$115K - $158K/yr

Senior Machine Learning Engineer Teleskope is redefining data security for the AI era with the only ... Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC. * ...

WITHIN

Machine Learning Engineer

New York, NY · On-site

$90K - $254K/yr

About the Role : We are in search of an exceptional Machine Learning Engineer to join our ... Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale.

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

Solve complex problems by writing and testing application code, developing and validating ML models ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with unit, integration, and load testing * Experience building APIs * Experience with ...

WITHIN

Machine Learning Engineer

New York, NY · Hybrid

$90K - $254K/yr

About the Role : We are in search of an exceptional Machine Learning Engineer to join our ... Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale.

Warnerbros

Machine Learning Engineer I

New York, NY · On-site

$106K - $146K/yr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ... Implement rigorous experimentation and A/B testing frameworks to validate model performance and ...

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258K/yr

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the ... Experience with unit, integration, and end-to-end testing, version control * Strong problem solving ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in New York? For Apprentice Machine Learning Testing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in New York look for? The top searched job categories for Apprentice Machine Learning Testing jobs in New York are:
What cities in New York are hiring for Apprentice Machine Learning Testing jobs? Cities in New York with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

Senior Machine Learning Engineer (AI Integration)

Recroot

Manhattan, NY

$135K - $178K/yr

Other

Posted 3 days ago

Job description

Senior Machine Learning Engineer (AI Integration)

New York, New York, United States

$ 5,000.00 - 8,000.00 (US Dollar)

About the job Senior Machine Learning Engineer (AI Integration)

Recroot is looking for a highly skilled Senior Machine Learning Engineer with expertise in AI integration to join a cutting-edge team. As part of this role, you will develop, implement, and integrate machine learning models into scalable AI systems. You'll be collaborating with data scientists, developers, and stakeholders to drive AI-driven solutions that will transform how companies harness the power of machine learning.

Key Responsibilities

  • Design, develop, and integrate scalable machine learning models into production systems.
  • Collaborate with cross-functional teams to identify AI integration opportunities.
  • Optimize and deploy machine learning models, ensuring they meet performance and scalability standards.
  • Stay updated on the latest AI/ML trends, tools, and technologies, and incorporate them into solutions.
  • Lead AI-driven projects from inception to deployment, ensuring the successful integration of ML solutions into various business applications.
  • Develop and maintain robust model training, testing, and validation pipelines.
  • Mentor junior engineers and provide technical guidance within the team.

Requirements

  • 5+ years of experience in machine learning and AI model integration.
  • Strong proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
  • Proven experience deploying machine learning models with cloud platforms (AWS, GCP, or Azure).
  • Solid understanding of deep learning, natural language processing, and computer vision.
  • Experience with MLOps and automating the deployment and monitoring of models in production.
  • Excellent problem-solving skills with a focus on integrating AI solutions into production environments.
  • Strong communication skills, with the ability to convey complex ML concepts to non-technical stakeholders.

Preferred Qualifications

  • Experience in reinforcement learning or federated learning.
  • Prior experience in leading AI/ML projects in a startup environment.
  • Familiarity with AI ethics, model interpretability, and explainability techniques.

Why Join Us?

At Recroot, you'll have the opportunity to work on groundbreaking AI/ML projects while collaborating with top tech companies. You'll be part of a dynamic, innovative team that values growth, creativity, and solving challenging problems.

Apply